Director of Product Analytics, AI Products.

About DoubleVerify

DoubleVerify is the pioneering force in the digital media landscape, renowned for its groundbreaking technology that ensures the authenticity & performance of digital media for the worlds leading brands.

Our mission is to enhance transparency & accountability in digital advertising, ensuring high-quality impressions that drive optimal performance.

Since our inception in 2008, we have been committed to elevating media spend efficiency for numerous Fortune 500 companies, offering superior solutions that foster a healthier digital ecosystem. Discover more at.

Position Overview

We are seeking a Director of Product Analytics to lead our dynamic AI Product Analytics team at the heart of DoubleVerifys Classification group.

This pivotal role encompasses comprehensive management & strategic oversight of our analytics function, aligning with our mission to secure the digital advertising ecosystem against inappropriate content monetization & ensuring brand safety across platforms.

As the Director of Product Analytics, you will spearhead the end-to-end management of our brand safety & suitability product analytics team, overseeing a large team of analysts to deliver cutting-edge classification products.

Your leadership will bridge our data science endeavors with operational excellence, guiding the development of ML / AI technologies that power our classification systems.

This role offers a unique opportunity to influence the ad-tech industry, advancing our commitment to a transparent, safe, & sustainable online advertising environment.

Key Responsibilities

• Lead & expand a highly skilled team of product & data analysts, fostering professional growth & technical proficiency.
• Strategize with senior management across Product, Engineering, & Data Science to define & prioritize analytics projects, ensuring alignment with our product roadmap & business goals.
• Enhance cross-functional collaboration, establishing a cohesive analytics framework across the organization to standardize measurement & impact assessment.
• Drive innovation within the analytics function, identifying & implementing process enhancements to bolster our analytics capabilities & product offerings.
• Champion data governance & quality, spearheading initiatives to address data integrity & usability across our platforms & products.
• Provide strategic insights & recommendations to inform decision-making on key product initiatives, leveraging comprehensive data analysis.

Qualifications

• Minimum of 10 years experience in analytics, with a proven track record in product & engineering support roles.
• At least 5 years experience in a leadership role managing & developing high-performing analytics teams.
• Demonstrated experience in overseeing product initiatives powered by data science methodologies, such as computer vision (CV) or natural language processing (NLP).
• Advanced degree in statistics, mathematics, information science, or a related technical field is highly desirable.
• Mastery of SQL & Python, with hands-on experience in Looker, BigQuery, & SQL warehouses.
• Exceptional ability to cultivate strong, positive relationships across diverse cultural environments & global teams.
• Excellent communication, leadership, & problem-solving skills, with a track record of successful cross-functional collaboration.

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & balancing internal equity relative to peers at DV.

The estimated salary range for this role based on the qualifications set forth in the job description is between $208,000- $278,000 .

This role will also be eligible for bonus / commission (as applicable), equity, & benefits.

The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, & recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact : shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box.

So if you think you have what it takes but youre not sure that you check every box, apply anyway!